# Smart Resize API

> Ka whakaraupapa anō i tētahi whakaahua ki te 10 rahinga whāinga, he pai mō ngā momo pānuitanga me ngā tapahanga

Ka whakarahi i tētahi whakaahua pūtake ki ngā rahinga noa mā te hanga anō i te whakatakotoranga, kaua mā te tapahi noa. Tukuna `target_sizes` hei 1 ki te 10 aho pērā i "1920x1080", me te 1 ki te 4 momo mā `num_images_per_size`. Mā tētahi `prompt` kōwhiri tae atu ki te 5000 pūāhua e tāpiri tohutohu. Ko `resolution` he 1K, 2K, 4K rānei, ā, ko te putanga png, jpeg, webp rānei.

- Model id: `smart-resize`
- Made by: Utility
- Category: Image Editing
- Output: image
- Price per run: from $0.15 / run of output image (cheapest run $0.15 (150 API credits))
- Run: `POST https://api.doitong.com/v1/run/smart-resize`
- Quote: `POST https://api.doitong.com/v1/quote/smart-resize`
- Docs page: https://doitong.com/mi/developers/models/smart-resize

## Pricing

Price: **from $0.15 / run of output image** (the lowest tier; the quote prices your exact input). Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

Price by tier:

- 1K: $0.15 / run of output image
- 2K: $0.15 / run of output image
- 4K: $0.30 / run of output image

The full example input below costs $0.50 = 500 API credits (3 runs × $0.15 (1K) + $0.05).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/smart-resize` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | URL atahanga pūtake mō te whakarahi anō. |
| `target_sizes` |  | array of string | yes |  | 1 – 10 items | Ngā rahinga putanga i tonoa hei rārangi aho `<width>x<height>`, hei tauira `"1920x1080"`. Ka hipa ia whāinga i tētahi tautuhinga nano-banana-pro iti rawa e taea ana, me te kore whakanuinga, kia ōrite pū ngā pika. Ko te maha atahanga mō ia rahinga he kotahi kua whakareatia ki `num_images_per_size`. |
| `prompt` |  | string | no | `` | ≤ 5000 characters | He aratohu tāpiri mō te whakarahi anō: mā te uara kau ka tono ki te tauira kia tino pono ki te ihirangi pūtake. Ka haere tahi ngā tohutohu kua tukuna me te tohutohu whakarahi anō aunoa ka tukuna ki nano-banana-pro. |
| `num_images_per_size` |  | integer | no | `1` | 1 – 4 | Te maha o ngā rerekētanga mō ia rahinga o nano-banana-pro, e whakatau ana i te tapeke atahanga whakahoki hei `len(target_sizes) * num_images_per_size`. |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K`, `4K` | Tohu taumata taumira ā-roto e whakatau ana i te iti rawa, ehara i ngā rahinga whakamutunga kua tohua e `target_sizes`. Ki te kore e taea e taua taumata te hipa i tētahi rahinga tono, ka kōwhiri aunoa pea te whakarahi atamai i tētahi taumata teitei ake. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Hōputu mō ngā atahanga kua whakaputaina. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | Whakaaetanga haumaru: mā te whakapiki i tēnei tau ka iti ake te pakari o te tātari mō ngā karanga /edit ā-roto a nano-banana-pro. |
| `seed` |  | integer \| null | no |  |  | Kākano whakaputa anō kōwhiringa, ka whakamahia mō ngā rahinga whāinga katoa. Ina tukuna, ka tukuna ki ngā karanga /edit ā-roto a nano-banana-pro. |

File parameters (`image`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "target_sizes": [
    "1024x1024",
    "1920x1080",
    "768x1344"
  ]
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "target_sizes": [
    "1024x1024",
    "1920x1080",
    "768x1344"
  ]
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/smart-resize?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "target_sizes": [
      "1024x1024",
      "1920x1080",
      "768x1344"
    ]
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/smart-resize?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "target_sizes": [
      "1024x1024",
      "1920x1080",
      "768x1344"
    ]
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "target_sizes": [
        "1024x1024",
        "1920x1080",
        "768x1344",
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/smart-resize", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.com/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "smart-resize",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "target_sizes": [
          "1024x1024",
          "1920x1080",
          "768x1344"
        ]
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "smart-resize",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 500,
    "usd": "0.50",
    "charged": 500,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "target_sizes": [
      "1024x1024",
      "1920x1080",
      "768x1344"
    ]
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200,
        "width": 1024,
        "height": 768
      }
    ],
    "description": "string",
    "results": [
      {
        "images": [
          {}
        ],
        "description": "string",
        "width": 1024,
        "height": 768,
        "aspect_ratio": "string",
        "resolution": "string"
      }
    ]
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Rārangi atahanga hanumi me ngā urunga `num_images_per_size` mō `target_sizes[0]` i te tuatahi, kātahi ngā rōpū ōrite mō ngā `target_sizes` whai muri. Kei roto ia atahanga i whakaputaina, i te raupapa ōrite ki `results`. |
| `description` | string | Whakamāramatanga e whai ana i ngā atahanga kua whakaputaina. |
| `results` | array of object {images, description, width, height, aspect_ratio, resolution} | Te whānui me te teitei i tonoa mō ia whāinga, me te tautuhinga nano-banana-pro i whakamahia i te tukatuka, e tautuhia ana e aspect_ratio me taumira. |

## Related models

- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [Age Modify](https://doitong.com/developers/models/image-apps-v2/age-modify.md) (`image-apps-v2/age-modify`): $0.04 / image
- [Cartoonify](https://doitong.com/developers/models/cartoonify.md) (`cartoonify`): $0.10 / image

## Links

- HTML page: https://doitong.com/developers/models/smart-resize
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=smart-resize
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/smart-resize